Experts Matter. Find Yours.
Connect for media, speaking, professional opportunities & more.
An innovative Baylor University study has shed light on the often-overlooked experiences of women doing “daughtering” in families, particularly during the COVID-19 pandemic, which created immense challenges in their relationships with parents and other family members. “Daughtering” refers to the ways adult daughters contribute to flourishing family relationships, according to Allison M. Alford, Ph.D., clinical associate professor in the Department of Information Systems and Business Analytics in Baylor’s Hankamer School of Business. Alford’s latest research, Daughterwork in Times of Social Upheaval, published in Qualitative Research Reports in Communication, explores how societal changes caused by the pandemic required women to reconfigure their relationships with their parents and emphasizes the critical role adult daughters play in maintaining family connections, particularly in times of crisis. "This study highlights how social upheavals like the COVID-19 pandemic can both challenge and reinforce the essential work that daughters do in their families," Alford said. “Past research has shown that women often bear the brunt of responsibility when crises occur at home, work or in the extended family. Particularly for professional women – those who are balancing changing workplace demands alongside immediate and extended family concerns as well as societal shifts – increased care needs or the perception of such for parents can increase stress and negatively impact well-being, yet women still persist in providing upstream support for a variety of reasons.” Using in-depth, semi-structured interviews of women who identified change to their daughtering, professional and family lives, Alford discovered four themes about how a crisis can provide opportunities for flexible daughtering, meaningful connection and reflection on one’s most important relationships. Daughtering is adaptive action The pandemic forced many daughters to rapidly adjust their caregiving practices with their parents. When normal forms of communication were not an option, many daughters turned to technology to bridge the gap. This included increased use of video calls, social media, and other digital communication tools to maintain contact and promote family connection. Alford’s research found that daughters also took on new, often physically demanding tasks to ensure their parents’ well-being – delivering groceries, managing household repairs and organizing virtual family gatherings. “These actions were not only about adapting to the context of social upheaval but also about intensifying their caring efforts to meet the evolving needs of their parents,” Alford said. Daughtering is adaptive timing The study revealed that daughters had to maintain a heightened state of vigilance, constantly prepared to address unexpected crises, Alford said. Unlike the more predictable daughtering routines of the past, the pandemic introduced a level of uncertainty that required daughters to be in a near-constant state of readiness. One study participant described her experience as being in "constant problem-solving mode," which added significant stress to her daily life. “This ‘adaptive timing’ meant that daughters often found themselves juggling sudden care demands with their own professional and personal obligations,” Alford said. “This theme underscores the mental and emotional toll on daughters who had to manage the unpredictable nature of daughtering during the pandemic.” Daughtering is a priority Despite the challenges, Alford said, many daughters reported that they continued to prioritize their daughtering responsibilities, driven by a deep sense of familial duty and personal values. “For these women, daughtering was not just another task but a core part of their identity, often taking precedence over their professional responsibilities,” Alford said. “This commitment was evident in the time and resources they dedicated to maintaining their relationships with their parents, even when it meant sacrificing their own well-being or career advancement.” One participant noted, “I value family, so I still made it a priority,” reflecting a sentiment shared by many women in the study. This theme, Alford noted, highlights the internal conflict that many daughters faced, balancing their dedication to family with the competing demands of their own lives. Daughtering involves reflecting Challenges prompt many daughters to reflect deeply on their roles and relationships, and the COVID-19 pandemic was no different, Alford said. “This period of social upheaval generated a moment of introspection, leading daughters to reassess their priorities, boundaries and the nature of their relationships with their parents,” she said. “For some, this reflection led to a greater appreciation for the importance of family, while for others, it was a time to set new boundaries and redefine their roles within the family structure.” One participant observed, “COVID was a catalyst for emotional support,” while another reflected on the need to “carve out time mentally” to fulfill her roles as both a daughter and a professional. This theme illustrates how the pandemic not only challenged daughters but also provided an opportunity for personal growth and redefinition of their familial roles, Alford said. Key strategies to recognizing daughters’ “invisible” labor The research underscores the critical need for greater recognition and support for the invisible labor performed by adult daughters, suggesting that both families and society at large have a role to play in alleviating the burden on these women. “It’s crucial that we not only acknowledge the burden placed on these women, “Alford said, “but also seek ways to support them, whether through family empathy, shared responsibilities or societal recognition.” Alford emphasizes the importance of three key strategies: Awareness and acknowledgment Families should recognize the labor involved in daughtering and ensure it is acknowledged and appreciated. This can help prevent the exploitation of this labor and ensure that daughters feel valued for their contributions. Outsourcing and support Where possible, families should consider outsourcing some care tasks or providing additional support to relieve the burden on daughters. This might include hiring help for household chores or seeking external emotional support through counseling. Expressing gratitude Expressing gratitude and acknowledging the efforts of daughters can significantly enhance their sense of well-being and fulfillment. This recognition is vital in helping them feel that their contributions are meaningful and valued. National Daughter’s Day National Daughter’s Day is Sept. 25, and while this holiday has been around since 1932 to honor the daughters in our lives, it can often quietly pass us by. Alford recommends parents using this day to officially acknowledge all the ways in which daughters support their families.
ExpertSpotlight: A Brief History of Espionage
The world was watching with wonder this week as news stories poured in about exploding pagers and how the armed devices made their way around an international supply chain and into the hands (and pockets) of Hezbollah. Espionage, a practice as old as civilization itself, has shaped the course of history by influencing wars, international relations, and technological advancements. From ancient times to the digital age, espionage has played a crucial role in national security and global diplomacy. This topic remains highly relevant today as concerns over cybersecurity, state-sponsored hacking, and corporate espionage dominate public discourse. Journalists covering this topic will find a rich array of story angles, including historical perspectives and modern implications. Key sub-topics that may interest journalists and the public include: Evolution of Espionage Tactics: Examining how espionage methods have developed from traditional spying techniques to modern digital surveillance, cyber-espionage, and the use of AI in intelligence gathering. Espionage and International Relations: Investigating the role of espionage in shaping diplomatic relations and its influence on global politics, alliances, and rivalries. Cybersecurity and Digital Espionage: Exploring how espionage has evolved in the digital age, focusing on cyber threats, hacking incidents, and the growing importance of cybersecurity in national defense. Famous Spies and Spy Agencies: Delving into the history of iconic spies and intelligence agencies, from World War II's codebreakers to Cold War espionage, and how these figures shaped the geopolitical landscape. Ethical and Legal Considerations: Analyzing the ethical dilemmas and legal boundaries surrounding espionage, including the balance between national security and individual privacy. Espionage in Popular Culture: Looking at how espionage has been depicted in literature, film, and media, and how these portrayals reflect and shape public perceptions of intelligence work. As espionage continues to evolve alongside technological advancements, it remains a critical issue in discussions of national security, global power dynamics, and privacy. This historical overview provides journalists with an opportunity to explore the enduring relevance of espionage in shaping both the past and future. Connect with an expert about the History of espionage: To search our full list of experts visit www.expertfile.com
The role of digital media in children's literacy
From tablets and smartphones to computers and smart TVs, kids have more access to digital content than ever before. But what does this mean for their literacy skills? One University of Delaware professor is embracing the use of digital media to improve children's literacy. Roberta Michnick Golinkoff, chair and professor in the School of Education UD, created Stories with Clever Hedgehog last year to offer books to children, specifically those who have been displaced or impacted by the Russo-Ukrainian War. This website allows families all over the world to engage in shared reading with their children, facilitate early literacy development and promote children’s well-being. Much research in early childhood education has underscored the importance of reading early and often with children, beginning during a child’s infancy and continuing throughout the elementary years. Reading during this critical point in children’s development fosters language acquisition, early literacy skills, socioemotional growth and comprehension of the world around them. Golinkoff's research partners and many others have demonstrated that shared book reading — when a child reads with a caregiver — encourages children to ask questions and draw connections to their own experiences, promotes story comprehension, increases children’s vocabulary and provides opportunities for emotional bonding. She is available to discuss even more benefits of reading, especially in this digital format. To connect, click her profile. She has been featured
EU-UK Trade Deal continues to stifle trade with 27% drop in exports since 2021
New report shows persistent stifling effects of the impact of the Trade and Cooperation Agreement on UK-EU trade relations Monthly data show a 27% drop in UK exports and a 32% reduction in imports to and from the EU between 2021 and 2023 Recommendations for policy interventions include to negotiate sector-specific deals, engage with individual EU countries, and work on reducing non-tariff barriers A comprehensive analysis by researchers at the Centre for Business Prosperity at Aston University reveals that negative impacts of the UK-EU Trade and Cooperation Agreement (TCA) have intensified over time. The new report, Unbound: UK Trade Post Brexit, also shows a 33% reduction in the variety of goods exported, with the agricultural, textiles, clothing and materials sectors most affected. To assess the impact of the UK-EU TCA, the authors analysed monthly import and export between the UK and the EU, from January 2017 to December 2023 and separated into pre- and post-January 2021 when the agreement came into force. The monthly data shows a 27% drop in UK exports and a 32% decline in imports from the EU. Lead author, Professor Jun Du of Aston University says: “The Trade and Cooperation Agreement introduced substantial barriers and there are ongoing and marked declines in the value and variety of UK exports and imports. Without urgent policy interventions, the UK’s economic position and place in the global market will continue to weaken.” The UK-EU TCA redefined trade and investment rules and market access between the UK and the EU. Since it came into force, the UK government has negotiated several trade agreements, but the EU remains the UK’s largest trade partner. Exports for most sectors have decreased since January 2021, although the impact is varied. Agrifood, textile and clothing and material-based manufacturing have been among the hardest hit, with substantial declines in both export value and the variety of products exported. At the same time, some sectors such as tobacco, railway and aircraft manufacturing have seen modest increases in varieties of products exported. On the import side, most sectors have shrunk in both value and variety, particularly agrifood products, optical, textile and material-based manufacturing. A few sectors, for example, ships and furniture, have demonstrated noticeable increases in import product variety. The large variations across different goods categories and EU trade partners underscore the uneven effects of Brexit and the TCA on UK-EU trade dynamics, highlighting the need to understand the nuances and come up with tailored strategies that address the unique challenges of each sector within the new regulatory environment. The researchers make recommendations, outlining how sector-specific negotiations, streamlining customs procedures with digital technologies and reducing regulatory divergence could mitigate some of the impacts. Dr Oleksandr Shepotylo, the report’s co-author says: “Our findings indicate a decoupling of the UK from key EU final goods markets, accompanied by a shift in UK supply chains toward geographically closer EU trading partners for exports and smaller countries for imports. “This shift raises concerns and underscores the urgent need for a strategic reconfiguration of UK supply chains to maintain competitiveness.” Professor Du continues: “The TCA has introduced considerable barriers to UK-EU trade, particularly through increased Non-tariff measures (NTMs). “Addressing these issues through targeted improvements to the TCA is crucial to ensuring that UK businesses remain competitive in the European market. A structured, multi-faceted approach is necessary.” To find out more about these findings, click here.
Can the Olympics Help Americans Forget Politics (at Least for 16 Days)?
Americans are divided on a multitude of different issues, but could the Olympic Games unite the country – at least for the duration of an Olympiad? A Baylor University sports marketing and branding expert says yes, the Olympics can help bring people together even when it’s hard for them to agree about anything else. In his latest Forbes Sports Money column, Baylor University sports marketing and branding expert Kirk Wakefield, Ph.D., executive director of the Curb Center for Sales Strategy in Sports and Entertainment (S3E) program at Baylor’s Hankamer School of Business, analyzed a July 8 national population poll that asked Americans questions about politics but also included the Steen Happiness Index (SHI). The 20-item happiness index provides a series of statements for participants to read and choose the one from each group that describes their state at that moment. Happiness items focus on three types of happy lives: the pleasant life (experiencing and savoring pleasures), the engaged life (losing the self in engaging activities) and the meaningful life (participating in meaningful activities). Are people happier when watching the Olympics? “Happy people follow the Olympics and people who follow the Olympics are happy people,” Wakefield wrote. The higher people scored on the happiness index, the more likely they are to: Watch at least some of the Olympics (49.75%) Root for the U.S. to win (31.8%) Follow the results of the Olympics (28.1%) Read stories about athletes in the Olympics (19.6%) Will talk with others about the Olympics events (18.7%) “Controlling for age, gender, income, education, race and marital status, Americans who follow the Olympics in one, two, or three of these ways are somewhat more happy people (+4% on the SHI). But those who follow the Olympics in four or all five of these ways are significantly happier people (+10% on the SHI),” Wakefield wrote. Who is happiest when the Olympics are on? The happiest? Those would be the Americans who love to talk about the Olympics with others while also cheering for U.S. athletes to win. In fact, they are about 14% happier than those who don’t follow the Olympics, according to the SHI. “Perhaps best of all, people of all political leaning and presidential preferences are equally likely to follow the Olympics. No matter the party, people can party together in unity following the Olympics,” Wakefield wrote. “Maybe we can’t forget politics. But we can give it a break to watch the Olympics.” ABOUT KIRK WAKEFIELD, PH.D. Kirk Wakefield, Ph.D., is The Edwin W. Streetman Professor of Retail Marketing at Baylor University, where he is the Executive Director of the Curb Center for Sales Strategy in Sports and Entertainment (S3E) program in the Hankamer School of Business. The author of Team Sports Marketing and founder of Wakefield Research Partners, Wakefield has conducted fan research on partnerships, pricing, promotions, sportscape, service, and anything else that explains why fans do what they do in nearly every venue in sports, including the NBA, NFL, MLB, MLS, NHL and NASCAR. His scholarly works appear in a breadth of journals: Journal of Marketing, Journal of Consumer Research, Journal of the Academy of Marketing Science, Journal of Service Research, Journal of Retailing, Journal of Advertising, Journal of Advertising Research and Journal of Sport Management, among others. Wakefield is a regular contributor to Sports Money on Forbes.com. ABOUT THE CURB CENTER FOR SALES STRATEGY IN SPORTS AND ENTERTAINMENT (S3E) The Center for Sales Strategy in Sports and Entertainment (S3E) at Baylor University is the only program in the U.S. focused on generating revenue for sports. S3E graduates have career opportunities in sales, digital marketing or business analytics for major league teams, university athletics, corporations and agencies. Baylor is the only university combining learning with practice in partnership with the Athletics Department to prepare graduates for careers in the business of sports. The S3E program is unique in vision, values, mission and culture to transform the business of sports and entertainment. Consistent with the Christian mission and purpose of Baylor University, we prepare passionate servant leaders to positively influence lives in places people go to play or watch others play.
Should campaigns be concerned about cyber threats?
Presidential campaigns are massive machines that require vast numbers of volunteers, staff working in each state. doors and supporters. And with everything digital - that's a lot of data that are valuable to those inside the campaign and just as valuable to those on the outside of a campaign. In this ExpertSpot MSOE's Walter Schilling answers the question: Should campaigns be concerned about cyber threats? Walter is available to speak with media - click on his profile below to arrange and interview today.
It Has to Matter Who Wins: Futurecasting the MLB All-Star Game
Globe Life Field in Arlington, home of the 2023 World Series champion Texas Rangers, will play host to the 94th edition of the Major League Baseball All-Star Game on July 16, marking the second time in franchise history the Rangers will host the Midsummer Classic. MLB’s All-Star game – which matches up the best players from the American League and National League as selected by fans, managers and players – is considered one of best all-star contests among professional sports, said Kirk Wakefield, Ph.D., executive director of the Curb Center for Sales Strategy in Sports and Entertainment (S3E) program at Baylor University’s Hankamer School of Business. However, the game faces continued headwinds, Wakefield said, ranging from lagging viewership to fan voting to a game that is more an exhibition than a meaningful game. Wakefield Weighs In: Five Thoughts on MLB's All-Star Game Is the MLB All-Star game the best All-Star contest of all major leagues? Wakefield: Yes, it’s the only one where players seem to try their best. The NBA and NFL – who have practically given up – have declining viewership since 2011. Unfortunately, MLB All-Star game is on the same downhill skid. (According to Statista, viewership has declined from 22 million in 1993 to seven million in 2023.) The reason why is it doesn’t really matter who wins. If the players don’t care who wins, neither will fans. Further, fans aren’t particularly a fan of only one league so that it really matters if one league has bragging rights. That was less the case years ago before interleague play. How could viewership improve in any of the All-Star games? Wakefield: It has to matter who wins. MLB tried this with home field advantage for the World Series. They gave that up. The current approach in baseball is truly an exhibition because every player gets to play, so it’s like three players at every position playing three innings. That’s not how a manager would play it if trying to win. And it’s not like it used to be when the starters (who were more likely to be the best at their positions) played longer. One suggestion I’ve heard is to make the payoff big enough for the winners so that the players gave it their best. Get a sponsor to put up the money so the winners each make seven figures and could be the players and managers will play more like a team trying to win. Does Monday’s prelude, the hugely popular Homerun Derby, enhance Tuesday’s game? Wakefield: The Homerun Derby is popular because fans do follow individual players. It matters more who wins. That said, the HR derby’s viewership has still lagged. Bottom line: Fans are loyal to teams more than to leagues or individual players. Fan voting… Need we say more? Wakefield: Major market teams with huge fan bases will dominate, but what about the Kansas City Royals, who at one point in the season were on pace for the biggest year-over-year improvement in wins and losses? Given the way fan voting has become essentially a promotion game to get more fans to vote more often, it’s hardly representative of anything other than largest markets with the best promoters. The good news is that the MLB All-Star game will be quite the occasion in Arlington, Texas, with a bevy of game-related activities and events July 13-16. Wakefield: Arlington is an optimal location central to the U.S. with plenty of space to blow out the occasion. It’s like the Texas State Fair came to baseball, where all the rides and attractions are baseball-happy. ABOUT KIRK WAKEFIELD, PH.D. Kirk Wakefield, Ph.D., is The Edwin W. Streetman Professor of Retail Marketing at Baylor University, where he is the Executive Director of the Curb Center for Sales Strategy in Sports and Entertainment (S3E) program in the Hankamer School of Business at Baylor University. The author of Team Sports Marketing and founder of Wakefield Research Partners, Wakefield has conducted fan research on partnerships, pricing, promotions, sportscape, service, and anything else that explains why fans do what they do in nearly every venue in sports, including the NBA, NFL, MLB, MLS, NHL and NASCAR. His scholarly works appear in a breadth of journals: Journal of Marketing, Journal of Consumer Research, Journal of the Academy of Marketing Science, Journal of Service Research, Journal of Retailing, Journal of Advertising, Journal of Advertising Research and Journal of Sport Management, among others. Wakefield is a regular contributor to Sports Money on Forbes.com. ABOUT THE CURB CENTER FOR SALES STRATEGY IN SPORTS AND ENTERTAINMENT (S3E) The Center for Sales Strategy in Sports and Entertainment (S3E) at Baylor University is the only program in the U.S. focused on generating revenue for sports. S3E graduates have career opportunities in sales, digital marketing or business analytics for major league teams, university athletics, corporations and agencies. Baylor is the only university combining learning with practice in partnership with the Athletics Department to prepare graduates for careers in the business of sports. The S3E program is unique in vision, values, mission and culture to transform the business of sports and entertainment. Consistent with the Christian mission and purpose of Baylor University, we prepare passionate servant leaders to positively influence lives in places people go to play or watch others play.
In today's rapidly evolving digital landscape, cybersecurity has emerged as an indispensable aspect of business operations. Automated infrastructures, which include endpoint devices, cloud services, and IoT systems, have made companies more vulnerable to cyber threats. These threats can disrupt operations, lead to financial losses, and compromise sensitive data. Therefore, understanding and implementing robust cybersecurity measures is non-negotiable for modern enterprises seeking resilience and stability. Dr. Walter Schilling, professor and cybersecurity expert at Milwaukee School of Engineering, is available to discuss what companies should consider when designing their cyber defense strategy. To protect their automated infrastructure, businesses must: integrate cybersecurity deeply into their overall strategy adopt a proactive approach to identifying and mitigating risks conduct regular security assessments deploy advanced threat detection systems enforce strong access control policies train employees on cybersecurity best practices foster a culture of vigilance is equally important.
Expert Q&A: Should We Permit AI to Determine Gender and Race from Resumes?
The banner ads on your browser, the route Google maps suggests for you, the song Spotify plays next: algorithms are inescapable in our daily lives. Some of us are already aware of the mechanisms behind a targeted ad or a dating profile that lights up our phone screen. However, few of us may actually stop to consider how this technology plays out in the hiring sector. As with any major technological advancement, it usually takes society (and legislation) a while to catch up and adjust for unintended consequences. Ultimately, algorithms are powerful tools. Like any tool, they have the potential for societal benefit or harm, depending on how they’re wielded. Here to weigh in on the matter is Assistant Professor of Information Systems & Operations Management Prasanna Parasurama, who recently joined Emory Goizueta Business School’s faculty in fall of 2023. This interview has been edited for clarity. Describe your research interests in six words. Six words…that’s difficult to do on the spot. How about “the impact of AI and other digital technologies on hiring.” Is that condensed enough? That works! What first interested you in the intersection of AI and hiring practices? Before I did my PhD, I was working as a data scientist in the HR analytics space at a start-up company. That is where my interest in the topic began. But this was a long time ago. People hadn’t started talking much about AI, or algorithmic hiring. The conversation around algorithmic bias and algorithmic fairness picked up steam in the second or third year of my PhD. That had a strong influence on my dissertation focus. And naturally, one of the contexts in which both these matters have large repercussions is in the hiring space. What demographics does your research focus on (gender identity, race/ethnicity, socioeconomic status, all of the above)? Do you focus on a particular job sector? My research mostly looks at gender and race for two main reasons. First, prior research has typically looked at race and gender, which gives us a better foundation to build on. Second, it’s much easier to measure gender and race based on the data that we have available—from resumes, from hiring data, like what we collect from the Equal Employment Opportunity Commission. They typically collect data on gender and race, and our research requires those really large data sets to draw patterns. They don’t ask for socioeconomic status or have an easy way to quantify that information. That’s not to say those are less important factors, or that no one is looking at them. One of the papers you’re working on examines resumes written by self-identified men and women. It looks at how their resumes differ, and how that influenced their likelihood of being contacted for an interview. So in this paper, we’re essentially looking at how men and women write their resumes differently and if that impacts hiring outcomes. Take resume screening algorithms, for example. One proposed way to reduce bias in these screening algorithms is to remove names from resumes to blind the applicant’s gender to the algorithm. But just removing names does very little, because there are so many other things that serve as proxies to someone’s gender. While our research is focused on people applying to jobs in the tech sector, this is true across occupations. "We find it’s easy to train an algorithm to accurately predict gender, even with names redacted." Prasanna Parasurama What are some of those gendered “tells” on a resume? People write down hobbies and extracurricular activities, and some of those are very gendered. Dancing and ballet tend to denote female applicants; you’re more likely to see something like wrestling for male applicants. Beyond hobbies, which is sort of obvious, is just how people write things, or the language they use. Female applicants tend to use a lot more affective words. Men, on the other hand, use more of what we call agentic words. Can you explain that a little more? In social psychology, social role theory argues that men are stereotyped to be more agentic, whereas women are stereotyped to be more communal, and that their communication styles reflect this. There’s essentially a list of agentic words that researchers have come up with that men use a lot more than women. And women are more likely to use affective words, like “warmly” or “closely,” which have to do with emotions or attitudes. These communication differences between men and women have been demonstrated in social sciences before, which has helped inform our work. But we’re not just relying on social science tools—our conclusions are driven by our own data. If a word is able to predict that an applicant’s resume belongs to a female versus male applicant, then we assign different weights, depending on how accurately it can predict that. So we’re not just operating on theories. Were there any gendered patterns that surprised you? If you were to assign masculinity and femininity to particular words, an algorithm would likely assign “married” to be a feminine term in most contexts. But in this particular case, it’s actually more associated with men. Men are much more likely to use it in resumes, because it signals something different to society than when women use it. "One of the most predictive terms for men was references to parenthood. It’s much easier for men to reference kids than for women to reveal information about their household status. Women face a penalty where men receive a boost." Prasanna Parasurama Studies show that people perceive fathers as being more responsible employees, whereas mothers are regarded as less reliable in the workplace. We haven’t studied this, but I would speculate that if you go on a platform like LinkedIn, men are more likely to disclose details about fatherhood, marriage, and kids than women are. There were some other tidbits that I didn’t see coming, like the fact that women are much less likely to put their addresses on their resume. Can AI predict race from a resume as easily as it can predict gender? There’s surprisingly very little we know on that front. From existing literature outside of algorithmic literature, we know differences exist in terms of race, not just on the employer side, where there might be bias, but we also on the worker side. People of different races search for jobs differently. The question is, how do we take this into account in the algorithm? From a technical standpoint, it should be feasible to do the same thing we do with gender, but it just becomes a little bit harder to predict race in practice. The cues are so variable. Gender is also more universal – no matter where you live, there are probably men and women and people who identify as in between or other. Whereas the concept of race can be very specific in different geographic regions. Racial identities in America are very different from racial identities in India, for instance. And in a place like India, religion matters a lot more than it does in the United States. So this conversation around algorithms and bias will look different across the globe. Beyond screening resumes, how does AI impact people’s access to job opportunities? A lot of hiring platforms and labor market intermediaries such as LinkedIn use AI. Their task is to match workers to these different jobs. There’s so many jobs and so many workers. No one can manually go through each one. So they have to train algorithms based on existing behavior and existing design decisions on the platform to recommend applicants to particular jobs and vice versa. When we talk about algorithmic hiring, it’s not just hiring per se, but spaces like these which dictate what opportunities you’re exposed to. It has a huge impact on who ends up with what job. What impact do you want your research to have in the real world? Do you think that we actually should use algorithms to figure out gender or race? Is it even possible to blind AI to gender or race? Algorithms are here to stay, for better or worse. We need them. When we think about algorithmic hiring, I think people picture an actual robot deciding who to hire. That’s not the case. Algorithms are typically only taking the space of the initial part of hiring. "I think overall, algorithms make our lives better. They can recommend a job to you based on more sophisticated factors than when the job was chronologically posted. There’s also no reason to believe that a human will be less biased than an algorithm." Prasanna Parasurama I think the consensus is that we can’t blind the algorithm to gender or other factors. Instead, we do have to take people’s demographics into account and monitor outcomes to correct for any sort of demonstrable bias. LinkedIn, for example, does a fairly good job publishing research on how they train their algorithms. It’s better to address the problem head on, to take demographic factors into account upfront and make sure that there aren’t drastic differences in outcomes between different demographics. What advice would you give to hopeful job candidates navigating these systems? Years of research have shown that going through a connection or a referral is by far the best way to increase your odds of getting an interview—by a factor of literally 200 to 300 percent. Hiring is still a very personal thing. People typically trust people they know. Prasanna Parasurama is an Assistant Professor of Information Systems & Operations Management at Emory University’s Goizueta Business School. Prasanna’s research areas include algorithmic hiring, algorithmic bias and fairness, and human-AI interaction. His research leverages a wide array of quantitative methods including econometrics, machine learning, and natural language processing. Prasanna is available to talk about this important and developing topic - simply click on his icon now to arrange an interview today.
Expert Insight: Training Innovative AI to Provide Expert Guidance on Prescription Medications
A new wave of medications meant to treat Type II diabetes is grabbing headlines around the world for their ability to help people lose a significant amount of weight. They are called GLP-1 receptor agonists. By mimicking a glucagon-like peptide (GLP) naturally released by the body during digestion, they not only lower blood sugar but also slow digestion and increase the sense of fullness after eating. The two big names in GLP-1 agonists are Ozempic and Wegovy, and both are a form of semaglutide. Another medication, tirzepatide, is sold as Mounjaro and Zepbound. It is also a glucose-dependent insulinotropic polypeptide (GIP) agonist as well as GLP-1. Physicians have been prescribing semaglutide and tirzepatide with increasing frequency. However, both medications come with a host of side effects, including nausea and stomach pain, and are not suitable for every patient. Many clinics and physicians do not have immediate access to expert second opinions, as do the physicians at Emory Healthcare. Creating a Digital Twin That lack of an expert is one of the reasons Karl Kuhnert, professor in the practice of organization and management at Emory University’s Goizueta Business School, is using artificial intelligence to capture the expertise of physicians like Caroline Collins MD through the Tacit Object Modeler™, or TOM. By using TOM, developed by Merlynn Intelligence Technologies, Kuhnert and Collins can create her “decision-making digital twin.” This allows Collins to reveal her expertise as a primary care physician with Emory Healthcare and an Assistant Professor at Emory School of Medicine, where she has been leading the field in integrating lifestyle medicine into clinical practices and education. Traditional AI, like ChatGPT, uses massive amount of data points to predict outcomes using what’s known as explicit knowledge. But it isn’t necessarily learning as it goes. According to Kuhnert, TOM has been designed to learn how an expert, like Collins, decides whether or not to prescribe a drug like semaglutide to a patient. Wisdom or tacit knowledge is intuitive and rooted in experience and context. It is hard to communicate, and usually resides only in the expert’s mind. TOM’s ability to “peek into the expert’s mind makes it a compelling technology for accessing wisdom.” “Objective or explicit knowledge is known and can be shared with others,” says Kuhnert. "For example, ChatGPT uses explicit knowledge in its answers. It’s not creating something new. It may be new to you as you read it, but somebody, somewhere, before you, has created it. It’s understood as coming from some source." Karl Kuhnert “Tacit knowledge is subjective wisdom. Experts offer this, and we use their tacit know-how, their implicit knowledge, to make their decisions. If it were objective, everyone could do it. This is why we hire experts: They see things and know things others don’t; they see around corners.” Mimicking the Mind of a Medical Expert Teaching TOM to see around the corners requires Collins to work with the AI over the course of a few days. “Essentially what I do is I sit down with, in this case, a physician, and ask them, ‘What are thinking about when you make this decision?'” says Kuhnert. “The layperson might think that there are hundreds of variables in making a medical decision like this. With the expert’s tacit knowledge and experience, it is usually between seven and twelve variables. They decide based on these critical variables,” he says. "These experts have so much experience, they can cut away a lot of the noise around a decision and get right to the point and ask, ‘What am I looking at?’" Karl Kuhnert As TOM learns, it presents Collins with more and different scenarios for prescribing semaglutide. As she makes decisions, it remembers the variables present during her decision-making process. “Obviously, some variables are going to be more important than other variables. Certain combinations are going to be challenging,” says Collins. “Sometimes there are going to be some variables where I think, yes, this patient needs a GLP-1. Then there may be some variables where I think, no, this person really doesn’t need that. And which ones are going to win out? That’s really where TOM is valuable. It can say, okay, when in these difficult circumstances where there are conflicting variables, which one will ultimately be most important in making that decision?” The Process: Trusting AI After working with TOM for several hours, Collins will have reacted to enough scenarios for TOM to learn to make her decision. The Twin will need to demonstrate that it can replicate her decision-making with acceptable accuracy—high 90s to 100 percent. Once there, Collins’ Twin is ready to use. “I think it’s important to have concordance between what I would say in a situation and then what my digital twin would say in a situation because that’s our ultimate goal is to have an AI algorithm that can duplicate what my recommendation would be given these circumstances for a patient,” Collins says. “So, someone, whether that be an insurance company, or a patient themselves or another provider, would be able to consult TOM, and in essence, me, and say, in this scenario, would you prescribe a GLP-1 or not given this specific patient’s situation?” The patient’s current health and family history are critical when deciding whether or not to prescribe semaglutide. For example, according to Novo Nordisk, the makers of Ozempic, the drug should not be prescribed to patients with a history of problems with the pancreas or kidneys or with a family history of thyroid cancer. Those are just the start of a list of reasons why a patient may or may not be a good candidate for the medication. Kuhnert says, “What we’re learning is that there are so many primary care physicians right now that if you come in with a BMI over 25 and are prediabetic, you’re going to get (a prescription). But there’s much more data around this to suggest that there are people who are health marginalized, and they can’t do this. They should not have this (medication). It’s got to be distributed to people who can tolerate it and are safe.” Accessing the Digital Twin on TOM Collins’s digital twin could be available via something as easy to access as an iPhone app. “Part of my job is to provide the latest information to primary care physicians. Now, I can do this in a way that is very powerful for primary care physicians to go on their phones and put it in. It’s pretty remarkable, according to Colllins.” It is also transparent and importantly sourced information. Any physician using a digital twin created with TOM will know exactly whose expertise they are accessing, so anyone asking for a second opinion from Colllins will know they are using an expert physician from Emory University. In addition to patient safety, there are a number of ways TOM can be useful to the healthcare industry when prescribing medications like semaglutide. This includes interfacing with insurance companies and the prior approval process, often lengthy and handled by non-physician staff. “Why is a non-expert at an insurance company determining whether a patient needs a medication or not? Would it be better to have an expert?” says Collins. “I’m an expert in internal medicine and lifestyle medicine. So, I help people not only lose weight, but also help people change their behaviors to optimize their health. My take on GLP-1 medications is not that everyone needs them, it’s that they need to be utilized in a meaningful way, so patients will get benefit, given risks and benefits for these medications.” The Power of a Second Opinion Getting second, and sometimes third, opinions is a common practice among physicians and patients both. When a patient presents symptoms to their primary care physician, that physician may have studied the possible disease in school but isn’t necessarily an expert. In a community like Emory Healthcare, the experts are readily available, like Collins. She often serves as a second opinion for her colleagues and others around the country. “What we’re providing folks is more of a second opinion. Because we want this actually to work alongside someone, you can look at this opinion that this expert gave, and now, based on sourced information, you can choose. This person may be one of the best in the country, if not the world, in making this decision. But we’re not replacing people here. We’re not dislocating people with this technology. We need people. We need today’s and tomorrow’s experts as well,” according to Kuhnert. But also, you now have the ability to take an Emory physician’s diagnosing capabilities to physicians in rural areas and make use of this information, this knowledge, this decision, and how they make this decision. We have people here that could really help these small hospitals across the country. Caroline Collin MD Rural Americans have significant health disparities when compared to those living in urban centers. They are more likely to die from heart disease, cancer, injury, chronic respiratory disease, and stroke. Rural areas are finding primary care physicians in short supply, and patients in rural areas are 64 percent less likely to have access to medical specialists for needed referrals. Smaller communities might not have immediate access to experts like a rheumatologist, for example. In addition, patients in more rural areas might not have the means of transportation to get to a specialist, nor have the financial means to pay for specialized visits for a diagnosis. Collins posits that internal medicine generalists might suspect a diagnosis but want to confirm before prescribing a course of treatment. “If I have a patient for whom I am trying to answer a specific question, ‘Does this patient have lupus?’, for instance. I’m not going to be able to diagnose this person with lupus. I can suspect it, but I’m going to ask a rheumatologist. Let’s say I’m in a community where unfortunately, we don’t have a rheumatologist. The patient can’t see a rheumatologist. That’s a real scenario that’s happening in the United States right now. But now I can ask the digital twin acting as a rheumatologist, given these variables, ‘Does this patient have lupus?’ And the digital twin could give me a second opinion.” Sometimes, those experts are incredibly busy and might not have the physical availability for a full consult. In this case, someone could use TOM to create the digital twin of that expert. This allows them to give advice and second opinions to a wider range of fellow physicians. As Kuhnert says, TOM is not designed or intended to be a substitute for a physician. It should only work alongside one. Collins agreed, saying, “This doesn’t take the place of a provider in actual clinical decision-making. That’s where I think someone could use it inappropriately and could get patients into trouble. You still have to have a person there with clinical decision-making capacity to take on additional variables that TOM can’t yet do. And so that’s why it’s a second opinion.” “We’re not there yet in AI says Collins. We have to be really careful about having AI make actual medical decisions for people without someone there to say, ‘Wait a minute, does this make sense?’” AI Implications in the Classroom and Beyond Because organizations use TOM to create digital twins of their experts, the public cannot use the twins to shop for willing doctors. “We don’t want gaming the system,” says Collins. “We don’t want doctor shopping. What we want is a person there who can utilize AI in a meaningful way – not in a dangerous way. I think we’ll eventually get there where we can have AI making clinical decisions. But I don’t think I’d feel comfortable with that yet.” The implications of using decision-making digital twins in healthcare reach far beyond a second opinion for prescription drugs. Kuhnert sees it as an integral part of the future of medical school classrooms at Emory. In the past, teaching case studies have come from books, journals, and papers. Now, they could come alive in the classroom with AI simulation programs like TOM. "I think this would be great for teaching residents. Imagine that we could create a simulation and put this in a classroom, have (the students) do the simulation, and then have the physician come in and talk about how she makes her decisions." Karl Kuhnert “And then these residents could take this decision, and now it’s theirs. They can keep it with them. It would be awesome to have a library of critical health decisions made in Emory hospitals,” Kuhnert says. Collins agreed. “We do a lot of case teaching in the medical school. I teach both residents and medical students at Emory School of Medicine. This would be a really great tool to say, okay, given these set of circumstances, what decision would you make for this patient? Then, you could see what the expert’s decision would have been. That could be a great way to see if you are actually in lockstep with the decision-making process that you’re supposed to be learning.” Kuhnert sees decision-making twins moving beyond the healthcare system and into other arenas like the courtroom, public safety, and financial industries and has been working with other experts to digitize their knowledge in those fields. "The way to think about this is: say there is a subjective decision that gets made that has significant ramifications for that company and maybe for the community. What would it mean if I could digitize experts and make it available to other people who need an expert or an expert’s decision-making?" Karl Kuhnert “You think about how many people aren’t available. Maybe you have a physician who’s not available. You have executives who are not available. Often expertise resides in the minds of just a few people in an organization,” says Kuhnert. “Pursuing the use of technologies like TOM takes the concept of the digital human expert from simple task automation to subjective human decision-making support and will expand the idea of a digital expert into something beyond our current capabilities,” Kuhnert says. “I wanted to show that we could digitize very subjective decisions in such areas as ethical and clinical decision-making. In the near future, we will all learn from the wisdom codified in decision-making digital twins. Why not learn from the best? There is a lot of good work to do.” Karl Kuhnert is a Professor in the Practice of Organization & Management and Associate Professor of Psychiatry, School of Medicine and Senior Faculty Fellow of the Emory Ethics Center. If you're looking to connect with Karl to know more - simply click on his icon now to arrange a time to talk today.
